computervision-recipes VS synthetic-dataset-object-detection

Compare computervision-recipes vs synthetic-dataset-object-detection and see what are their differences.

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computervision-recipes synthetic-dataset-object-detection
1 1
9,115 20
- -
3.9 2.6
about 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

computervision-recipes

Posts with mentions or reviews of computervision-recipes. We have used some of these posts to build our list of alternatives and similar projects.

synthetic-dataset-object-detection

Posts with mentions or reviews of synthetic-dataset-object-detection. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing computervision-recipes and synthetic-dataset-object-detection you can also consider the following projects:

fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!

smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

sports - Cool experiments at the intersection of Computer Vision and Sports ⚽🏃

VIAME - Video and Image Analytics for Multiple Environments

notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)